ENIGMA- Addiction: Pooling of Existing Datasets to Identify Brain and Genetic Correlates of Addiction
ENIGMA- Addiction: Pooling of Existing Datasets to Identify Brain and Genetic Correlates of Addiction
批准号:
10465044
负责人:
Patricia Conrod
金额:
$65.93万
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-15 至 2024-06-30
关键词:
AbstinenceAddressAdolescentAdultAge of OnsetArchivesBig DataBiological MarkersBrainBrain imagingCandidate Disease GeneChronicCollaborationsCommunitiesCountryDataData AnalyticsData CollectionData PoolingData SetDatabasesDependenceDevelopmentDiseaseEnsureFailureFundingGenesGeneticGenetic MarkersGenetic Predisposition to DiseaseGenomicsGoalsGrant ReviewHeritabilityInstitutionInternationalInvestigationLightLinkLongevityMagnetic Resonance ImagingMeasuresMedical GeneticsMental HealthMeta-AnalysisMethodsModalityModelingNatureNeurobiologyParticipantPatternPharmaceutical PreparationsPhenotypePrefrontal CortexPrivacyPublishingQuality ControlReportingReproducibilityResearchResearch PersonnelRestRiskSample SizeSamplingSampling StudiesSeriesSex CharacteristicsSiteSmokingStandardizationStructureSubstance abuse problemTestingThickUnited States National Institutes of HealthValidationWeightWorkaddictionanalytical methodbrain behaviorcase controlcohortcomorbiditydata and analysis portaldata sharingdata standardsdemographicsdrug of abusegenetic associationgenome wide association studyimaging studyinsightinteractive toolmultiple datasetsmultiple drug useneuroimagingnovelopioid userpleiotropismpredictive markerpsychiatric genomicsrelating to nervous systemsociodemographicssubstance usesuccesstooluser-friendlyworking group
中文摘要
项目摘要
ENIGMA联盟(http://enigma.ini.usc.edu/)的建立是为了研究大脑的结构、功能,
通过结合来自多个站点的基因组和神经成像数据集来研究疾病。它的目标是最大化
统计能力和通过非常大的数据池工作从现有数据集中获得的收益。这一目标
鉴于对许多神经成像的严格性和可重复性的担忧,
基因组发现自从其最初的成功(一项关于皮质下体积的全基因组关联研究,
超过26,000名参与者,Stein等人,2012 Nature Genetics),一些工作组已经
使用标准化的多站点ENIGMA预处理管道和分析方法,
研究特定疾病的神经生物学。这个应用程序的PI创建了ENIGMA成瘾工作
该小组现在可以访问代表14000多名参与者的数据集。基因组和神经成像
对这一前所未有的数据收集的分析应该产生重要的新见解,
以及成瘾的遗传基础。基于我们最初的概念验证资金(R21 DA 038381),我们建议
进一步扩大目前只包括世界上一小部分人的成瘾工作组,
潜在的相关数据集,以确定用于遗传关联分析的依赖性的强大大脑标记,
并检查遗传和大脑标记物,以了解药物使用阶段之间的过渡,
寿命我们还将增加大脑检查的范围,包括结构和功能
我们将继续研究脑组织的磁共振成像(DTI)和静息状态数据,并将开发大脑结构的形态测量分析。我们
可以使用这些生物标志物来评估大脑的改变是否先于依赖或在早期或
长期使用,如果这些影响通过利用家庭,发育,
纵向和禁欲样本在我们的工作组。我们将创建一个数据分析门户,
提供对汇集数据的广泛访问和优化的分析方法,
再现性(例如,适当的协变量,嵌套方差模型,
社会人口统计学、交叉验证),从而指导其他人适当和明智地使用这些数据。
分析门户将存档分析(例如,准确的主题和分析脚本),以确保最佳实践
完全透明。我们将积极努力扩大联合体,以创建一个独特的大型
神经成像-遗传成瘾数据集,我们将免费向研究社区提供结果
通过在线互动工具ENIGMA-Vis(http://enigma.ini.usc.edu/enigma-vis/)。
英文摘要
PROJECT SUMMARY
The ENIGMA consortium (http://enigma.ini.usc.edu/) was established to investigate brain structure, function,
and disease by combining genomic and neuroimaging datasets from multiple sites. Its goal is to maximize
statistical power and the yield from existing datasets through very large data pooling efforts. This goal has
added importance today in light of concerns over the rigor and reproducibility of many neuroimaging and
genomic findings. Since its initial successes (a genome wide association study on subcortical volumes with
over 26,000 participants, Stein et al., 2012 Nature Genetics), a number of working groups have been
established which use the standardized multi-site ENIGMA preprocessing pipelines and analytic methods to
study the neurobiology of specific diseases. This application's PIs created the ENIGMA Addiction working
group which now has access to datasets representing over 14000 participants. Genomic and neuromaging
analyses on this unprecedented collection of data should produce important new insights into the neural
and genetic basis of addiction. Building on our initial proof of concept funding (R21DA038381), we propose
to further expand the Addiction working group which currently includes only a fraction of the world's
potential relevant datasets, to identify robust brain markers of dependence for genetic association analyses,
and to examine genetic and brain markers for the transition between stages of substance use across the
lifespan. We will also increase the range of brain measures examined to include structural and functional
connectivity (DTI and resting-state data) and will develop morphometric analyses of brain structures. We
can use these biomarkers to assess if brain alterations preceded dependence or arose during early or
chronic use and if these effects correct with abstinence by exploiting the familial, developmental,
longitudinal and abstinence samples in our working group. We will create a data analysis portal that will
provide both wide access to the pooled data and optimized analytic methods that maximize rigor and
reproducibility (e.g., appropriate covariates, nested variance models, propensity weighting for
sociodemographics, cross-validation) thereby guiding others to use these data appropriately and wisely.
The analysis portal will archive analyses (e.g., exact subjects and analysis scripts) to ensure best practice
and full transparency. We will actively work to expand the consortium to create a uniquely large
neuroimaging-genetic addiction dataset and we will make results freely available to the research community
through the online interactive tool ENIGMA-Vis (http://enigma.ini.usc.edu/enigma-vis/).
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ENIGMA- Addiction: Pooling of Existing Datasets to Identify Brain and Genetic Correlates of Addiction
-
批准号:10205011
-
项目类别:
-
资助金额:$65.93万
-
财政年份:2018
-
负责人:Patricia Conrod
-
依托单位:
ENIGMA- Addiction: Pooling of Existing Datasets to Identify Brain and Genetic Correlates of Addiction
-
批准号:9615369
-
项目类别:
-
资助金额:$66.91万
-
财政年份:2018
-
负责人:Patricia Conrod
-
依托单位:
ENIGMA- Addiction: Pooling of Existing Datasets to Identify Brain and Genetic Correlates of Addiction
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批准号:10609614
-
项目类别:
-
资助金额:$5.72万
-
财政年份:2018
-
负责人:Patricia Conrod
-
依托单位:
海外基金